Correlation between Count Score and Cardiovascular Events in Maintenance Hemodialysis Patients

Abstract

Purpose: Evaluating the nutritional status of patients with Maintenance Hemodialysis (MHD) based on CONUT score to explore its relationship with Cardiovascular Disease (CVD) in MHD patients. Methods: Baseline data of new-coming MHD patients hospital hemodialysis center of our hospital undergoing hemodialysis treatment for the first time from January 1, 2014 to June 30, 2020 was collected. Cardiovascular events were used as the end point. Patients were divided into three groups according to CONUT score: normal nutrition group (CONUT score 0-1), mild malnutrition group (CONUT score 2-4) and moderate to severe malnutrition group (CONUT score ≥5), and the differences of clinical data and prognosis among the three groups were compared. The risk factors of cardiovascular events in MHD patients were determined by Logistic regression analysis, and the predictive ability of the risk factors was observed with Receiver Operating Characteristic (ROC) curve. Results: A total of 424 MHD patients were included. According to the CONUT score, 31 (7.3%) patients were in the normal nutrition group, 160 (37.7%) patients in the mild malnutrition group, and 233 (55.0%) patients in the moderate to severe malnutrition group. A total of 159 patients had cardiovascular events, including 3 cases (9.7%) in the normal nutrition group, 38 cases (23.8%) in the mild malnutrition group, and 118 cases (50.6%) in the moderate to severe malnutrition group. The worse the nutritional status of patients is, the higher the incidence rate of cardiovascular events is (P<0.05). Logistic regression analysis showed that CONUT score and age were independently correlated with cardiovascular events in MHD patients (P<0.05). ROC curve analysis showed that CONUT score and age predicted cardiovascular events in MHD patients with areas under the curve were 0.683 (95% CI: 0.632-0.735, P<0.001) and 0.702 (95% CI: 0.702), respectively. 0.652 -- 0.753, P<0.001), the optimal cut-off points were 4.5 (≥5 in combination) and 68.5, the sensitivity were 74.2% and 49.1%, and the specificity was 56.6% and 81.1%, respectively. Conclusion: There is a certain correlation between CONUT score the happening of cardiovascular events and MHD patients.

ZmHOX32 is related to photosynthesis and likely functions in plant architecture of maize

“…(Prigge et al, 2005). Within this family, the regulatory mechanism of HOX32 influencing leaf morphogenesis has been studied in the C3 crops (rice and Arabidopsis) (Emery et al, 2003;Li et al, 2016). However, the function of HOX32 in C4 crop maize has not been studied.…”

“…Hox32 is a member of HD-ZIP III family genes. In rice, overexpression of OsHOX32 caused narrow adaxial curling leaves, reduced leaf angle, erect plant type, dwarf plants, and reduced chlorophyll levels, thus repressing the photosynthesis efficiency (Li et al, 2016). In Arabidopsis, Hox32 homologs IFL1, ATHB-9 and ATHB-14 are involved in the development of the apical meristem, vascular bundle and the paraxial region of the lateral tissue, regulating the embryonic development process in the formation of the root tip (Palena et al, 2001).…”

Genome-wide identification and functional prediction of long non-coding RNAs associated with cold tolerance in japonica rice

“…Long non-coding RNA (lncRNA) is a class of RNAs with a length of more than 200 nucleotides; they cannot encode proteins (Golicz et al 2018;Li et al 2018). Based on the location of the coding genes and lncRNAs in the genome, lncRNAs can be classi ed into four types: (1) antisense lncRNAs, (2) intergenic lncRNAs, (3) intronic lncRNAs, and (4) sense lncRNAs (Mattick et al 2015).…”

“…MuLnc1 was cleaved by mul-miR3954 to generate si161579, which was a ta-siRNA (trans-acting siRNA), and could regulate plant biotic and abiotic resistance by cleaving the transcripts of calmodulin-like protein gene CML27 (MuCML27) (Gai et al 2018). LncRNAs may respond to Dickeya zeae infection in rice by regulating the transcript levels of their targets and miRNAs (Li et al 2018). In winter wheat varieties, lncRNAR9A was predicted to interact with miR398; miR398 and lncR9A were transferred into Arabidopsis thaliana.…”

Preparation of CuO nanorods for lithium-ion battery anodes by supercritical hydrothermal reaction of spent acidic etchant

“…Impurities such as Zn 2+ , Fe 3+ , and Ni + in the spent acid etchant usually result in the low purity of the prepared CuO powders, which limits the application of spent acid etchant-derived CuO in sensors and catalysts. However, in LIBs, some impurities of heterometallic ions as dopants can promote the Li-storage property of CuO anodes [3].…”